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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Published on: September 27, 2024

Differences in shimmer across formant regions.

Isabelle Leclerc1, Hilmi R Dajani, Christian Giguère

  • 1Audiology and Speech-Language Pathology Program, University of Ottawa, Ottawa, Ontario, Canada.

Journal of Voice : Official Journal of the Voice Foundation
|September 28, 2013
PubMed
Summary
This summary is machine-generated.

Standard acoustic measures like shimmer do not fully capture auditory processing. Shimmer around higher formants (F3, F4) is not well represented in unfiltered speech analysis, suggesting limitations in current voice disorder assessments.

Keywords:
FormantsShimmerTonotopic processing

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Area of Science:

  • Acoustic analysis of voice production.
  • Auditory perception and signal processing.
  • Speech pathology and phonetics.

Background:

  • Objective acoustic measures such as shimmer and jitter are used to analyze phonatory dysfunction.
  • Current measures are limited as they do not account for auditory processing.
  • Previous research suggests shimmer may be processed differently along the ear's tonotopic axis, particularly around the third and fourth formants.

Purpose of the Study:

  • To investigate the relationship between shimmer around the first four formants (F1-F4) and in the broadband unfiltered speech waveform.
  • To assess how different shimmer measures in Praat software capture formant-specific vocal characteristics.

Main Methods:

  • Analyzed voice samples from 18 normal speakers.
  • Filtered speech around F1-F4 with a 400Hz bandwidth.
  • Assessed shimmer using five different measures in Praat software.

Main Results:

  • Shimmer significantly increased with formant frequency from F1 to F4 across all measures.
  • Unfiltered speech shimmer correlated most strongly with F1 and F2 shimmer.
  • Unfiltered speech shimmer showed weaker correlation with F4 and no significant correlation with F3 shimmer.

Conclusions:

  • Vocal shimmer differs across formants.
  • Standard shimmer measurements of unfiltered speech do not adequately capture shimmer information around F3 and F4.
  • This highlights a gap in current acoustic analysis for voice disorders, particularly concerning higher formant frequencies.